Completed
Thank you for listening
Class Central Classrooms beta
YouTube playlists curated by Class Central.
Classroom Contents
Nerve Theorems for Fixed Points of Neural Networks
Automatically move to the next video in the Classroom when playback concludes
- 1 Intro
- 2 How does connectivity shape activity?
- 3 Combinatorial Threshold-Linear Networks (CTLNs)
- 4 A diversity of dynamical behaviour
- 5 Dynamic attractors "live around fixed points"
- 6 Graph structure and CTLN fixed points
- 7 Nerves: divide and conquer
- 8 Directional graphs Agraph G is directional there is a partition of its nodes V
- 9 DAG decompositions
- 10 Directional graphs and feed-forward networks
- 11 Directional covers and their nerves
- 12 Basic examples
- 13 Theorem (DAG decomposition)
- 14 5-clique chain example Graph G
- 15 Theorem (cycle nerve)
- 16 Grid graph
- 17 Network engineering: Grid as a nerve
- 18 Dynamical prediction
- 19 Summary
- 20 Thank you for listening
- 21 Iterating the construction
